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Optimization and Approximation Methods

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School Buildings Rehabilitation

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

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Abstract

This chapter describes the basic mathematical formulation of the Artificial Neural Networks and the multi-objective optimization methods. The concept of Artificial Neural Network is presented and its potential for engineering applications is highlighted. The multi-objective optimization problem is described and formulated and the evolutionary algorithms are described as very promising tools for solving this kind of problems.

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Authors and Affiliations

  1. Department of Civil Engineering, School of Technology and Management, Polytechnic Institute of Viseu, Campus Politécnico de Repeses, Viseu, Portugal

    Ricardo M. S. F. Almeida

  2. Building Physics Laboratory, Department of Civil Engineering, Faculty of Engineering of University of Porto, Porto, Portugal

    Vasco Peixoto de Freitas & João M. P. Q. Delgado

Authors
  1. Ricardo M. S. F. Almeida
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  2. Vasco Peixoto de Freitas
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  3. João M. P. Q. Delgado
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Corresponding author

Correspondence to Ricardo M. S. F. Almeida .

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Almeida, R.M.S.F., de Freitas, V.P., Delgado, J.M.P.Q. (2015). Optimization and Approximation Methods. In: School Buildings Rehabilitation. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-15359-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-15359-9_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15358-2

  • Online ISBN: 978-3-319-15359-9

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